{"id":"https://openalex.org/W4387123478","doi":"https://doi.org/10.1109/case56687.2023.10260622","title":"Electric Vehicle Location-Routing Task-Motion Planning","display_name":"Electric Vehicle Location-Routing Task-Motion Planning","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387123478","doi":"https://doi.org/10.1109/case56687.2023.10260622"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260622","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020283109","display_name":"Yazz Warsame","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Yazz Warsame","raw_affiliation_strings":["Czech Technical University in Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058729606","display_name":"Stefan Edelkamp","orcid":"https://orcid.org/0000-0001-8435-5025"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Stefan Edelkamp","raw_affiliation_strings":["Czech Technical University in Prague"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66883168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1994","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236858606338501},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5884358286857605},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5365744829177856},{"id":"https://openalex.org/keywords/probabilistic-roadmap","display_name":"Probabilistic roadmap","score":0.5192211270332336},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5117342472076416},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5115829110145569},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.4985017776489258},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4951144754886627},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49172428250312805},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4858205318450928},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47950249910354614},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.47589051723480225},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.41975247859954834},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.41384679079055786},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32412779331207275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23290053009986877},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20331719517707825},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10915711522102356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236858606338501},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5884358286857605},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5365744829177856},{"id":"https://openalex.org/C2778803389","wikidata":"https://www.wikidata.org/wiki/Q7246866","display_name":"Probabilistic roadmap","level":4,"score":0.5192211270332336},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5117342472076416},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5115829110145569},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.4985017776489258},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4951144754886627},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49172428250312805},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4858205318450928},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47950249910354614},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.47589051723480225},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.41975247859954834},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.41384679079055786},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32412779331207275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23290053009986877},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20331719517707825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10915711522102356},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case56687.2023.10260622","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case56687.2023.10260622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6200000047683716,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W746996894","https://openalex.org/W1523305739","https://openalex.org/W1986013552","https://openalex.org/W1989604479","https://openalex.org/W1989914740","https://openalex.org/W2009396247","https://openalex.org/W2023284604","https://openalex.org/W2040244622","https://openalex.org/W2051757324","https://openalex.org/W2052171047","https://openalex.org/W2128990851","https://openalex.org/W2158944832","https://openalex.org/W2169805129","https://openalex.org/W2517828448","https://openalex.org/W2575918323","https://openalex.org/W2934382939","https://openalex.org/W2971824418","https://openalex.org/W3091823256","https://openalex.org/W3091909587","https://openalex.org/W3160725325","https://openalex.org/W4220910684","https://openalex.org/W4381082438","https://openalex.org/W6622191072","https://openalex.org/W6631327990","https://openalex.org/W6696658689"],"related_works":["https://openalex.org/W2107702345","https://openalex.org/W2137520303","https://openalex.org/W1536392978","https://openalex.org/W2216928063","https://openalex.org/W2389713625","https://openalex.org/W4308217561","https://openalex.org/W2134348961","https://openalex.org/W2115192598","https://openalex.org/W2160419405","https://openalex.org/W2116162693"],"abstract_inverted_index":{"This":[0,102],"work":[1],"presents":[2],"a":[3,17,39,70,81,134,201,205],"solution":[4,24],"to":[5,46,68,116,121,149,204,211],"the":[6,47,57,63,75,78,91,96,100,108,123,144,166,178,181,188,193,198,213],"electric":[7],"location-routing":[8,18],"problem":[9],"with":[10,80],"capacitated":[11,48,105],"energy":[12,67,169,207],"and":[13,72,98,111,118,133,159,174,187],"item":[14,175],"load":[15],"using":[16,38],"task":[19],"motion":[20],"planning":[21],"approach.":[22],"Our":[23],"consists":[25],"of":[26,36,146,172,184,215],"three":[27],"stages,":[28],"(i)":[29],"we":[30,43,55,127,155],"start":[31],"by":[32],"generating":[33],"collision-free":[34],"regions":[35],"interest":[37],"probabilistic":[40],"roadmap.":[41],"(ii)":[42],"propose":[44],"modifications":[45],"hierarchical":[49],"agglomerative":[50],"clustering":[51],"algorithm":[52],"(CAC).":[53],"First,":[54],"consider":[56],"vehicle's":[58,109],"starting":[59],"location,":[60],"ensuring":[61],"that":[62],"vehicle":[64,92,136,194],"has":[65],"enough":[66],"enter":[69],"cluster":[71,79,167,202],"visit":[73,99,196],"all":[74,197],"customers":[76,173,199],"in":[77,138,200],"full":[82],"battery":[83],"charge.":[84],"Secondly,":[85],"an":[86,129,139],"adaptive":[87],"threshold":[88],"approach":[89,148],"ensures":[90],"can":[93],"traverse":[94],"between":[95],"clusters":[97,106],"customers.":[101],"stage":[103],"generates":[104],"within":[107],"capacity":[110],"decides":[112],"how":[113],"many":[114],"facilities":[115],"open":[117],"their":[119],"locations":[120],"satisfy":[122],"customers'":[124],"demands.":[125],"(iii)":[126],"use":[128],"off-the-shelf":[130],"PDDL":[131],"solver":[132],"second-order":[135],"model":[137],"obstacle-rich":[140],"environment.":[141],"We":[142],"compare":[143],"performance":[145],"our":[147,152],"CAC.":[150],"For":[151],"simulated":[153],"experiments,":[154],"analyze":[156],"various":[157],"routes":[158],"costs":[160],"for":[161],"different":[162],"attributes,":[163],"such":[164],"as":[165],"strategies,":[168],"capacity,":[170,208],"number":[171,183,214],"load,":[176],"where":[177],"results":[179],"measure":[180],"runtime,":[182],"customer":[185,216],"visits":[186],"average":[189],"travel":[190],"distance.":[191],"When":[192],"cannot":[195],"due":[203],"limited":[206],"it":[209],"seeks":[210],"maximize":[212],"visits.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
